مقاله اجزای آنتروپی هسته بهینه شده

عنوان مقاله فارسی: اجزای آنتروپی هسته بهینه شده عنوان مقاله لاتین: Optimized Kernel Entropy Components نویسندگان: Emma Izquierdo-Verdiguier; Valero Laparra; Robert Jenssen; Luis Gómez-Chova; Gustau Camps-Valls تعداد صفحات: 14 سال انتشار: 2017 زبان: لاتین Abstract: This brief addresses two main issues of the standard kernel entropy component analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gaussian kernel parameter. KECA roughly reduces to a sorting of the importance of kernel eigenvectors by entropy instead of variance, as in the kernel principal components analysis. In this brief, we propose an extension of the KECA method, named optimized KECA (OKECA), that directly extracts the optimal features retaining most of